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Machine Learning Engineer II

Chewy

  • Richardson, Texas
  • 4 days ago

    Highlights

    We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. In this role, you will play a crucial part in building and deploying machine learning solutions that empower our Chewy Customer Care teams.

    Numbers & Facts

    LocationRichardson, Texas
    IndustryRetail
    Company Size1,500 to 1,999 employees
    Year Founded2011
    Websitehttps://www.chewy.com/

    Description

    Job Description:

    Summary: 

    We are seeking a talented and passionate Machine Learning Engineer II to join our growing team. In this role, you will play a crucial part in building and deploying machine learning solutions that empower our Chewy Customer Care teams. As a Machine Learning Engineer II, you will be a key contributor throughout the machine learning lifecycle, from data preparation and model development to deployment and monitoring. You will have the opportunity to work on diverse projects and contribute directly to the success of the company. 

    Responsibilities: 

    • Design and implement robust data pipelines for efficient data ingestion, processing, and feature engineering. 
    • Ensure data quality and consistency for model training and inference. 
    • Work with large datasets and apply data scaling techniques. 
    • Select and build appropriate machine learning models based on business requirements and data characteristics. 
    • Train and evaluate models using various techniques and metrics. 
    • Fine-tune models to achieve optimal performance and efficiency. 
    • Deploy machine learning models to production environments, ensuring scalability, reliability, and maintainability. 
    • Implement monitoring and alerting systems to track model performance and identify potential issues. 
    • Optimize models for inference speed and resource utilization. 
    • Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions. 
    • Effectively communicate technical concepts and findings to both technical and non-technical audiences. 

    Qualifications: 

    • Master's degree in Computer Science, Machine Learning, or a related field. 
    • 3+ years of experience as a Machine Learning Engineer or in a similar role. 
    • Strong programming skills in Python or another relevant language. 
    • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). 
    • Experience with SQL and relational databases. 
    • Familiarity with AWS cloud technologies (e.g., Glue, Sagemaker, Athena, Redshift). 
    • Solid understanding of machine learning algorithms and best practices. 
    • Experience with cloud computing platforms (e.g., AWS, Azure, GCP). 
    • Excellent communication and presentation skills. 

    Nice to Have: 

    • Familiarity with big data technologies (e.g., Spark, Iceberg, dbt). 
    • Experience with data visualization tools (e.g., Tableau, Streamlit, Plotly). 
    • Knowledge of retail and e-commerce. 

     

     

    The base salary range for this role is $119,500 - $190,000.00.
    • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

    We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. 

    Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 

    Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact

    CAAR@chewy.com

    .

    To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

    About Company

    Amazon changed how we shop for books. Netflix transformed the way we consume movies. At online pet specialty retailer Chewy, we’re disrupting the pet products industry by offering our customers the easiest way to get the premium products they want, backed by unparalleled service. We strive to win at everything we do, whether that means bending over backwards to gain our customers’ trust and loyalty or creating a creative and stimulating work environment for our employees. We aim to wow our customers—and our employees. Trust us. You’ll notice the difference from the moment you become a candidate with us. At Chewy, we believe in ownership and accountability and value creativity. We are makers and doers who thrive on the desire to drive results. We approach our mission to provide the best service and pet products anywhere with a dogged determination and a disposition that’s as sunny as the South Florida oceanfront we call home. Sure, we work hard, but we have fun, too. Of course, that’s not hard to do when you get to bring your favorite four-legged friend to the office.

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